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Effect of Respiratory Motion Correction in Perfusion Spect Imaging.

, , , , , и . ICIP, стр. 1168-1172. IEEE, (2018)

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Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

 

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Learning a Channelized Observer for Image Quality Assessment., , , , и . IEEE Trans. Med. Imaging, 28 (7): 991-999 (2009)A Study of Deep Learning Networks for Motion Compensation in Cardiac Gated Spect Images., , , , , и . ICIP, стр. 1906-1910. IEEE, (2022)Accounting For Inter-Subject Variations in Deep Learning for Reduced-Dose Studies in Cardiac SPECT., , , , и . ICIP, стр. 2913-2917. IEEE, (2021)Low-Dose Cardiac-Gated Spect Via a Spatiotemporal Convolutional Neural Network., , , , и . ISBI, стр. 814-817. IEEE, (2020)Improving perfusion defect detection with respiratory motion compensation in cardiac SPECT., , , , , и . ISBI, стр. 324-327. IEEE, (2018)Reducing the effect of false positives in classification of detected clustered microcalcifications., , и . ISBI, стр. 253-256. IEEE, (2018)A Feasibility Study of Motion Compensation for Cardiac Gated Spect Images Using a Cascaded Network., , , , , и . ISBI, стр. 1-4. IEEE, (2022)Numerical observer for cardiac motion assessment., , , , и . Computational Imaging, том 7533 из SPIE Proceedings, стр. 75330. IS&T/SPIE, (2010)4D reconstruction of cardiac gated SPECT images using a content-adaptive deformable mesh model., , , и . Medical Imaging: Image Processing, том 7623 из SPIE Proceedings, стр. 76230E. SPIE, (2010)Locally optimum detection for additive watermarking in the DCT and DWT domains through non-Gaussian distributions., , и . DSP, стр. 1-6. IEEE, (2013)